--- name: implementing-real-user-monitoring description: Implement Real User Monitoring (RUM) to capture actual user performance data including Core Web Vitals and page load times. Use when setting up user experience monitoring or tracking custom performance events. Trigger with phrases like "setup RUM", "track Core Web Vitals", or "monitor real user performance". version: 1.22.0 allowed-tools: Read, Write, Edit, Grep, Glob, Bash(npm:*), Bash(rum:*) license: MIT author: Jeremy Longshore tags: - performance - monitoring - real-user compatibility: Designed for Claude Code --- # Real User Monitoring Implement Real User Monitoring (RUM) to capture Core Web Vitals, page load times, and custom performance events using Google Analytics, Datadog RUM, or New Relic. ## Overview This skill streamlines the process of setting up Real User Monitoring (RUM) for web applications. It guides you through the essential steps of choosing a platform, defining metrics, and implementing the tracking code to capture valuable user experience data. ## How It Works 1. **Platform Selection**: Helps you consider available RUM platforms (e.g., Google Analytics, Datadog RUM, New Relic). 2. **Instrumentation Design**: Guides you in defining the key performance metrics to track, including Core Web Vitals and custom events. 3. **Tracking Code Implementation**: Assists in implementing the necessary JavaScript code to collect and transmit performance data. ## When to Use This Skill This skill activates when you need to: - Implement Real User Monitoring on a website or web application. - Track Core Web Vitals (LCP, FID, CLS) to improve user experience. - Monitor page load times (FCP, TTI, TTFB) for performance optimization. ## Examples ### Example 1: Setting up RUM for a new website User request: "setup RUM for my new website" The skill will: 1. Guide the user through selecting a RUM platform. 2. Provide code snippets for implementing basic tracking. ### Example 2: Tracking custom performance metrics User request: "I want to track how long it takes users to complete a purchase" The skill will: 1. Help define a custom performance metric for purchase completion time. 2. Generate JavaScript code to track the metric. ## Best Practices - **Privacy Compliance**: Ensure compliance with privacy regulations (e.g., GDPR, CCPA) when collecting user data. - **Sampling**: Implement sampling to reduce data volume and impact on performance. - **Error Handling**: Implement robust error handling to prevent tracking code from breaking the website. ## Integration This skill can be used in conjunction with other monitoring and analytics tools to provide a comprehensive view of application performance. ## Prerequisites - Access to web application frontend code in ${CLAUDE_SKILL_DIR}/ - RUM platform account (Google Analytics, Datadog, New Relic) - Understanding of Core Web Vitals metrics - Privacy compliance documentation (GDPR, CCPA) ## Instructions 1. Select appropriate RUM platform for requirements 2. Define key metrics to track (Core Web Vitals, custom events) 3. Implement tracking code in application frontend 4. Configure data sampling and privacy settings 5. Set up dashboards for metric visualization 6. Define alerts for performance degradation ## Output - RUM implementation code snippets - Platform configuration documentation - Custom event tracking examples - Dashboard definitions for key metrics - Privacy compliance checklist ## Error Handling If RUM implementation fails: - Verify platform API credentials - Check JavaScript bundle integration - Validate metric collection permissions - Review privacy consent configuration - Ensure network connectivity for data transmission ## Resources - Core Web Vitals measurement guide - RUM platform documentation - Privacy compliance best practices - Performance monitoring strategies --- Source attribution: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/performance/real-user-monitoring/skills/implementing-real-user-monitoring/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Claude Code Plugins Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/performance/real-user-monitoring/skills/implementing-real-user-monitoring/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Marketing, Customer Support Roles: Customer Experience, Data Analyst, Growth Marketer, Marketing Analyst, Product Marketer Specialties: API, Design, Word Documents, Frontend Tools: Datadog, Google Analytics Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: e6722f6f941f76a5c01d9ecaff2d9fc3c3f23606e9fb3f5952d6c9ca7d73054d